[::] Agentic Stacks

GLM-5 vs GPT-5.5

Pick two tools from the same category to compare side-by-side.

GLM-5
Zhipu AI's MIT-licensed 744B-parameter MoE model targeting complex systems engineering and agentic tasks.
GPT-5.5
OpenAI's flagship frontier model, positioned as a new class of intelligence for coding and professional work.
Category modelmodel
Vendor type open sourcecommercial
Pricing freeusage
Strengths
  • + MIT-licensed open weights
  • + Designed specifically for agentic and tool-use workloads
  • + Sparse attention architecture reduces long-context serving cost
  • + 40B active parameters keep inference cost moderate for its class
  • + OpenAI's recommended model for complex reasoning and coding
  • + 1M-token context window with up to 128K output tokens
  • + Generally available via the OpenAI API with listed pricing of $5 input / $30 output per million tokens
Tradeoffs
  • − 744B total parameters still demand multi-GPU infrastructure to self-host
  • − Smaller first-party API ecosystem than DeepSeek or Alibaba
  • − Most expensive tier in OpenAI's lineup; GPT-5.4 is positioned as the more affordable option for similar work
  • − API-only commercial model; no open weights
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